Using Porter Five Forces and Technology Acceptance Model to Predict Cloud Computing Adoption among IT Outsourcing Service Providers

2014 ◽  
Vol 1 (2) ◽  
pp. 18 ◽  
Author(s):  
Han Ping Fung
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Service Providers ◽  
It Outsourcing ◽  
Cloud Computing Adoption ◽  
Acceptance Model

scholarly journals Mobile banking adoption: a rural Zimbabwean marketing perspective

2015 ◽  
Vol 13 (1) ◽  
pp. 195-204
Author(s):  
Pinigas Mbengo ◽  
Maxwell A. Phiri
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Service Providers ◽  
Marketing Mix ◽  
Behavioural Intention ◽  
Mobile Banking ◽  
Market Segment ◽  
Banking Services ◽  
Intention To Adopt ◽  
Acceptance Model

The purpose of this paper is to explore and discuss the determinants that inhibit mobile banking adoption by the rural unbanked in Zimbabwe. The researchers conducted an extensive literature search. The references consulted were categorically analysed and articles were considered to compile the findings of this paper. The study provides a contribution to practice by providing a better understanding of issues associated with mobile banking diffusion mechanisms that aid the adoption of mobile banking systems. The main findings of the research indicate that there is a slow and often annoying adoption of mobile banking within Zimbabwe by the rural unbanked due to a considerable number of inhibitive factors. This research reveals the nature of adoption that may reliably inform service providers about strategies to consider when appealing to this market segment. The study also shows that mobile banking adoption cannot ignore the use of marketing oriented factors in order to avoid the assumption of being myopic by considering only the product based variables to assess behavioural intention to adopt mobile banking services as identified in Technology Acceptance Model. However, the literature review also reveals that there are virtually no substantive theoretical researches which adequately extend the TAM using all the marketing mix elements. Therefore Technology Acceptance Model is extended using the marketing mix elements to better predict the behavioural intention to adopt mobile banking by the rural unbanked. This research, having studied the behaviour of the rural unbanked, argues that mobile banking service providers are likely to develop tailor-made integrated marketing mix strategies in order to financially include this market segment. The paper recommends for future research to use the additional marketing mix elements of physical evidence, processes and people in the adoption of mobile banking services by the rural unbanked.

Leveraging the technology acceptance model for mobile commerce adoption under distinct stages of adoption

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Service Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Street Vendors ◽  
Content Type ◽  
Perceived Enjoyment ◽  
Acceptance Model

Purpose The purpose of this paper is to investigate the role of trust and perceived enjoyment in the technology acceptance model by distinguishing distinct stages of adoption among street vendors (initial and advanced adoption stage). Design/methodology/approach Face-to-face interviews using a structured questionnaire were conducted with 430 street vendors in Bangkok; 415 usable surveys were analyzed. By applying K-means cluster analysis, two segments were found with 200 initial and 215 advanced adopters. A multi-group analysis was employed to investigate differences of relationships between the two groups. Findings The findings reveal significant similarities and dissimilarities between the two groups of vendors. Both initial and advanced adopters emphasize trust of service providers. The first group relies more on perceived ease of use and perceived enjoyment in motivating m-commerce adoption but depends less on perceived usefulness. On the contrary, for the latter group, the influence of perceived ease of use and perceived enjoyment significantly decreases, but the effect of perceived usefulness significantly increases. Practical implications This study sheds light on the managerial implications related to how service providers can tailor their marketing strategies to target vendors in disparate diffusion stages, and it encourages building trust between partners over time. Originality/value Due to the lack of theoretical and managerial understanding of factors that drive m-commerce adoption for micro businesses, this study identifies distinct adoption stages and offers valuable insights into the similarities and differences among initial and advanced adopters.

Future Research on Cloud Computing Adoption by Small and Medium-Sized Enterprises

2013 ◽  
Vol 5 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Amin Saedi ◽  
Noorminshah A. Iahad
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Actor Network Theory ◽  
Future Research ◽  
Diffusion Of Innovation Theory ◽  
Adoption Theory ◽  
Cloud Computing Adoption ◽  
Acceptance Model ◽  
And Diffusion

This paper delivers some initial insights into the range of theories that need to be integrated to provide a holistic explanation of Cloud Computing (CC) adoption by Small and Medium-Sized Enterprises (SMEs). To achieve this outcome, this paper firstly critiques the two commonly used Information Systems (IS) adoption/diffusion theories: the Technology Acceptance Model and Diffusion of Innovation Theory. It then evaluates the suitability of the Technology-Organization-Environment framework as an IS adoption theory and Actor-network Theory as an innovation translation approach for future research on developing an integrated theoretical framework for CC adoption by SMEs.

Technology Acceptance Model 3 in Understanding Employee's Cloud Computing Technology

2020 ◽  
pp. 097215092095717
Author(s):  
Esra Cengiz ◽  
Hülya Bakırtaş
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mediating Effect ◽  
Perceived Ease Of Use ◽  
Computing Technology ◽  
Acceptance Model

The aim of this study is to investigate the factors affecting cloud computing technology application by using technology acceptance model 3 (TAM3). The conceptual model was empirically analysed. While the experience of employees has no moderating effect on the relationship between subjective norm and perceived usefulness, the effect of perceived ease of use on perceived usefulness is moderated by experience. In other words, the higher the experience, the higher the effect of perceived ease of use on perceived usefulness. In addition, perceived ease of use, in terms of the perceived enjoyment and playfulness variables, has a mediating effect. Perceived usefulness and perceived ease of use in cloud computing have positive effect on behavioral intention. Research on cloud computing and technology acceptance model has overlooked the mediating and moderating effect of variables in TAM3, on which very little work has been done.

scholarly journals INVESTIGATION OF FACTORS AFFECTING CLOUD COMPUTING ADOPTION IN NIGERIA

2017 ◽  
Vol 15 (2) ◽  
pp. 73-94
Author(s):  
O T AROGUNDADE ◽  
A O ADEJIMI ◽  
A M MUSTAPHA ◽  
A M IKOTUN ◽  
A AKINWALE
Keyword(s):  
Cloud Computing ◽  
Regression Analysis ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
Acceptance Model

Cloud computing is a viable alternative for meeting the technological needs of many  enterprises with the benefits of instantaneous computing resource fulfillment, technology expenditures at lower costs, common technology platforms that can facilitate standardization and decreased  need for internal technology support personnel. This paper examined the behavioral intention to adopt cloud computing services in large and small organization using an Enhanced Technology Acceptance Model (ETAM). The aim is to investigate the factors affecting cloud computing adoption in Nigeria. The model includes variables that other research has found related to adoption of new computing services and technologies. Regression Analysis was then deployed to test the research hypotheses. The result of regression analysis revealed that attitude and adopters ability to use cloud computing (self-efficacy) were better predictor of intention; perceived usefulness and perceived ease of use of cloud computing were better predictor of attitude; perceived ease of use and the relevant of cloud computing to adopters’ work (job relevance) were the predictor of perceived usefulness. 

scholarly journals How risk perception influences CEOs' technological decisions: extending the technology acceptance model to small and medium-sized enterprises' technology decision makers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luca Ferri ◽  
Rosanna Spanò ◽  
Marco Maffei ◽  
Clelia Fiondella
Keyword(s):  
Cloud Computing ◽  
Risk Perception ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Equation Modeling ◽  
Cloud Technology ◽  
Content Type ◽  
Factors Influencing ◽  
Acceptance Model

PurposeThis paper aims to investigate the factors influencing chief executive officers’ (CEOs') intentions to implement cloud technology in Italian small and medium-sized enterprises (SMEs).Design/methodology/approachThe study proposes a model that integrates the theoretical construct of the technology acceptance model (TAM) with a classification of perceived benefits and risks related to cloud computing. The study employs a structural equation modeling approach to analyze data gathered through a Likert scale-based survey.FindingsThe findings indicate that risk perception has a strong negative effect on the intention to introduce cloud technology in firms. This effect is partially offset by the perceived ease of use of the technology.Originality/valueThe study provides a new theoretical framework that integrates the TAM and a classification of perceived risks to provide a clear view of management's cognitive processes during technological change. Moreover, the results show the main factors influencing decisions regarding the implementation of cloud computing in firms in light of the perception of risks. Finally, this study provides interesting findings for cloud service providers (CSPs) about their customers' decision-making processes.

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